Spatial distribution of air temperature in high-elevation glacierized regions: from observations in four catchments on the Tibetan Plateau
This experiment contains 30-meter resolution near-surface air temperature datasets for four glacier regions (Guliya, Aru, Naimona’nyi, Dunde) on the Qinghai-Tibet Plateau, derived by integrating in situ measurements (automatic weather stations and loggers; January-November 2019) with Landsat 8/9 thermal infrared data. The datasets, spanning elevations of 4,947–6,078 m and temperatures from −42°C to +16°C, address data gaps through masked nearest-neighbor interpolation and Kriging (for clustered outliers ≥5), with spatial smoothing to minimize observational noise. Validation against ground measurements employs Root Mean Square Error (RMSE) of °C and standard deviation (SD) of °C metrics, visualized via Temperature_Error graphs. The glaciers-representing diverse climatic zones-include Guliya (ice cap, westerlies-dominated), Aru (valley glacier), Naimona’nyi (Himalayan slopes), and Dunde (Qilian Mountains, transitional climate). Supported by elevation data from the Topographic Data of Qinghai-Tibet Plateau (2021) and temperature data from the GATP Dataset (doi:10.26050/WDCC/GATP). These spatially interpolated temperature distributions serve as a reference for assessing cryospheric and climate models in high-altitude regions.
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Citation proposal
(2025) . Spatial distribution of air temperature in high-elevation glacierized regions: from observations in four catchments on the Tibetan Plateau. https://gdk.gdi-de.org/geonetwork/srv/api/records/wdc-climate.de:5309522 |
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- doi:10.26050/WDCC/HGR
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- eng; USA
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- Data Graph Visualization
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- Interpolation
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- Multi-source Data
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- Qinghai-Tibet Plateau
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- air temperature
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- glaciated region
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- machine learning
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- Date ( Publication )
- 2025-08-19
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- Shenyang University of Technology
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- Shenyang University of Technology
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- Shenyang University of Technology
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- 2025-08-08T14:13:28
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- eng; USA
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